Package: countdata 1.3

Image

Thang Pham

countdata: The Beta-Binomial Test for Count Data

The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.

Authors:Thang Pham [aut, cre, cph, ctb]

countdata_1.3.tar.gz
countdata_1.3.tar.gz(r-4.6-arm64)countdata_1.3.tar.gz(r-4.6-x86_64)countdata_1.3.tar.gz(r-4.5-arm64)countdata_1.3.tar.gz(r-4.5-x86_64)
countdata_1.3.tgz(r-4.5-emscripten)
countdata.pdf |countdata.html
countdata/json (API)

# Install 'countdata' in R:
install.packages('countdata', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openmp

2.00 score 8 scripts 209 downloads 4 exports 0 dependencies

Last updated from:6157e6ce4f. Checks:6 OK. Indexed: yes.

TargetResultTotal timeArtifact
linux-devel-arm64OK104
linux-devel-x86_64OK120
source / vignettesOK159
linux-release-arm64OK121
linux-release-x86_64OK110
wasm-releaseOK91

Exports:bb.testfold.changeibb.testnormalize

Dependencies:

The Beta-Binomial Test for Count Data

Rendered fromcountdata.Rmdusingknitr::rmarkdownon Feb 03 2026.

Last update: 2021-09-14
Started: 2021-01-27

  • Image